Causal Effect of Count Treatment on Ordinal Outcome Using Generalized Propensity Score: Application to Number of Antenatal Care and Age Specific Childhood Vaccination

It is important to trim GPS when it approaches zero or one without loss of more information due to trimming. Effective sample size after weighting should be used along with other methods such as correlation and absolute standardized mean differences for GPS model selection. GBM should be used for GPS estimation for count treatments. MSM is important for the outcome model when weighting GPS method is used. Finally, the number of antenatal care services had an increasing effect on the probability of age-specific childhood vaccination.

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Journal
Journal of Epidemiology and Global Health
Published
2025-02-12
DOI
https://doi.org/10.1007/s44197-025-00344-7
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
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article

Causal Effect of Count Treatment on Ordinal Outcome Using Generalized Propensity Score: Application to Number of Antenatal Care and Age Specific Childhood Vaccination

Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen T. Zewotir, Ashagrie Sharew Iyassu
Journal of Epidemiology and Global Health
Advanced Causal Inference Techniques
article

Causal Effect of Count Treatment on Ordinal Outcome Using Generalized Propensity Score: Application to Number of Antenatal Care and Age Specific Childhood Vaccination

Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen T. Zewotir, Ashagrie Sharew Iyassu
article en

Abstract

It is important to trim GPS when it approaches zero or one without loss of more information due to trimming. Effective sample size after weighting should be used along with other methods such as correlation and absolute standardized mean differences for GPS model selection. GBM should be used for GPS estimation for count treatments. MSM is important for the outcome model when weighting GPS method is used. Finally, the number of antenatal care services had an increasing effect on the probability of age-specific childhood vaccination.

Journal of Epidemiology and Global HealthVol. 15(1)
Oulu University Hospital (FI), Bahir Dar University (ET), Debre Markos University (ET), University of KwaZulu-Natal (ZA), University of Oulu (FI)
Openalex Percentile: Top 97%
Advanced Causal Inference Techniques
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Causal Effect of Count Treatment on Ordinal Outcome Using Generalized Propensity Score: Application to Number of Antenatal Care and Age Specific Childhood Vaccination — Haile Mekonnen Fenta, Zelalem G. Dessie, et al. · Journal of Epidemiology and Global Health (2025) | TGRS Research Map | TGRS